Verda Raises $189M and Becomes Europe's Newest AI Cloud Unicorn

By Carlos Montiel | Enterprise AI Specialist
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Published: 2026-09-23 | By: Carlos Montiel | Reading time: ~4 minutes

Verda, the Helsinki-based AI cloud formerly known as DataCrunch, announced a $189 million Series B on September 22 that values the company at $1 billion or more — Europe's newest AI unicorn. The round confirms that investor appetite for compute infrastructure remains intact, even as the conversation shifts toward agents and applications.

Who backed the round

The oversubscribed Series B was led by Emergence Capital, with participation from MUFG Innovation Partners, server maker Super Micro Computer, Finnish insurer Varma Mutual Pension Insurance, and Lifeline Ventures. With this round, Verda's total funding — equity and debt combined — now exceeds $450 million.

The company, which rebranded from DataCrunch to Verda this year, hit an annualized revenue run rate of $165 million in July 2026 — a sign that the business of renting AI compute at prices competitive with the traditional hyperscalers is already generating real revenue, not just promises of future capacity.

What the money is for

Verda plans to use the capital to expand its end-to-end AI cloud: more compute capacity, product development, and growth across Europe, the United States, and Asia. The company is targeting more than 250 megawatts of operating capacity by 2027, spread across Europe, the UK, the United States, and Asia.

What having more alternatives to the hyperscalers means

The business takeaway: the growth of specialized "neoclouds" like Verda — focused exclusively on AI compute, without the rest of a hyperscaler's full catalog — gives companies outside the United States more vendor options when GPU capacity is scarce or AWS, Azure, and Google Cloud pricing doesn't fit the budget. For a company in Guatemala or Latin America evaluating where to train or serve models, it's worth checking whether a European or regional neocloud offers a better price-to-availability ratio than the big three, especially for workloads that don't need a hyperscaler's full service ecosystem.

The underlying signal matters just as much: investors are still betting heavily on the infrastructure layer, not just on models or applications. As long as global AI compute stays scarce, companies like Verda will keep finding capital willing to fund more data centers and more GPUs.

Carlos Montiel
Enterprise AI Solutions Architect
Specialist in LLMs, Agents, and Orchestration
guatemalia.com/#contacto · info@guatemalia.com

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